261-5120-00L  Machine Learning for Health Care

SemesterSpring Semester 2019
LecturersG. Rätsch
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 78.

Previously called Computational Biomedicine II


Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersG. Rätsch
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examinationwritten 180 minutes
Additional information on mode of examination70% session examination, 30% project/presentation; the final grade will be calculated as weighted average of both these elements. As a compulsory continuous performance assessment task, the project/presentation must be passed on its own and has a bonus/penalty function.

The projects/presentations are an integral part (30 hours of work, 1 credits) of the course and consists of a practical part and/or a presentation of a research paper. Participation is mandatory. Failing the project results in a failing grade for the overall examination of Machine Learning for Health Care (261-5120-00L).

Students who fail to fulfill the project/presentation requirement have to de-register from the exam. Otherwise, they are not admitted to the exam and they will be treated as a no show.
Written aids2 sheets A4 (= 4 pages) summary, script
This information can be updated until the beginning of the semester; information on the examination timetable is binding.